Finance
GOALS
-
A Private Equity company hired Norders to create an application which a ML-model in its centre that uses alternative data sources to forecast financial performance of non-publicly traded companies
-
The main objective was to ease the current shortlisting of potential target companies as well as finding "hidden champions" based on alternative data sources
- Identifying companies with the highest probablity of having revenues that will increase in the next year
Data
- Several independent data providers where used to create a compelling image of companies, including financial and organizational data.
- Alternative data: website traffic
- Social media followers
- Customer review
- News coverage
Analytics
- Machine learning and statistical modelling algorithms
- Big Data technologies for creating analytical boards and models
- Python
- Sentiment Analysis Algorithms
- Cloud environment: AWS
Business top line KPIs focus to identify growing or declining businesses
- Revenues growth
- Liablities growth
- Asset growth
- Web traffic, relevance, news coverage, job opening, employees growth
Results
- We outlined that despite non-representative years such as 2020 it is feasible to predict companies´ performance based on parameters found in alternative data sources
Our work laid out the foundation for our client to build an entire cloud-based solution around it
- Our work laid out the foundation for our client to build an entire cloud-based solution around it